Performance of a multi-channel adaptive Kalman algorithm for active noise control of non-stationary sources

S. van Ophem, Arthur P. Berkhoff

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    3 Citations (Scopus)
    1 Downloads (Pure)


    Commonly used adaptive algorithms which determine the coefficients of a finite impulse response feed-forward filter in an active noise control application, as the filtered reference least mean squares algorithm, are not performing well when the sound source is non-stationary. A multiple input and multiple output Kalman algorithm potentially has a much better tracking performance, but has a few disadvantages, such as a high calculation complexity and the potential build-up of round-off errors. To overcome these problems a multi-channel Kalman algorithm is presented in fast-array form. The performance of this algorithm was tested in simulations and gives promising results for non-stationary sources, as long as the velocity of the sound source is relatively low. When the sound source has a higher velocity, the Doppler effect plays a significant role on the sound waves, giving a reduction in performance of the algorithm. Also the performance of the Kalman algorithm was validated in a real-time experiment. When the state space equations are rewritten, so the estimated impulse response of the secondary path is equal to a finite impulse response filter, the algorithm shows a comparable rate of convergence in experiments and simulations.
    Original languageUndefined
    Title of host publicationProceedings of Inter-Noise 2012
    Place of PublicationUSA
    PublisherThe Institute of Noise Control Engineering of the USA
    Number of pages11
    ISBN (Print)not assigned
    Publication statusPublished - 19 Aug 2012
    EventInter-Noise 2012 - New York, USA
    Duration: 19 Aug 201222 Aug 2012

    Publication series

    PublisherThe Institute of Noise Control Engineering of the USA


    ConferenceInter-Noise 2012
    Other19-22 August 2012


    • EWI-22470
    • Kalman filtering
    • Adaptive algorithms
    • IR-82153
    • Active noise control
    • METIS-289770
    • Acoustics

    Cite this